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Graphical abstract Highlights • Technology cost and utility rate structure are key drivers of economic viability of solar and storage systems. • Solar-plus-storage systems are more often economical under time of use and demand charge rates. • Savings from storage-only projects come mainly from demand charge reductions; solar combined with storage also provides energy charge savings. • Savings from solar with storage is largely independent of building load variability, likely due to the energy cost reductions from the solar. Abstract This paper explores the economics of solar-plus-storage projects for commercial-scale, behind-the-meter applications. It provides insight into the near-term and future solar-plus-storage market opportunities across the U.S. We explore the impacts of location, building load profile, technology cost, utility rate structure, and policies on solar-plus-storage economic viability, and identify which factors are most significant to project economics. While savings from storage-only projects are largely derived from demand charge reductions, solar combined with storage also provides significant energy charge savings. A common assumption is that load profiles with peaks are likely candidates for savings from storage, due to the opportunity for demand charge reduction. Our results indicate that potential for savings from combining solar with storage is independent of building load variability, likely due to the energy cost reductions from the solar. Systems are more often economical under time of use and demand charge rates, particularly when demand charges are >$10 per kilowatt. Where systems were found to be economical, expected lifetime savings averaged between 7%–10%, with savings of 30% in numerous cases. Near term markets exist for solar-plus-storage in locations such as California and New York. As technology prices drop, the number of building types that can benefit increase, and additional markets appear in Colorado, New Mexico, and Alaska. All data from the study and interactive modeling results are available at: https://openei.org/wiki/Solar+Storage. [ABSTRACT FROM AUTHOR]

The Genuine Progress Indicator (GPI) was designed to reveal the economic, social, and environmental trade-offs associated with conventional economic growth as traditionally measured by Gross Domestic Product (GDP). Although originally designed for use at the national scale, an interest has developed in the United States in a state-level uptake of the GPI to inform and guide policy. This study presents the first fifty-state estimate for U.S. GPI in order to address questions over its design, implementation, and ultimate potential as a tool to guide state-level economic policy. Following a review of the current state of analysis and critique of GPI, we provide an overview of methodology and database development. Results are then presented, including discussion of lessons learned through a fifty-state application. The paper concludes with suggestions for further research and next steps to consolidating a consistent methodology. [ABSTRACT FROM AUTHOR]

This paper proposed a multi-scale correlations perspective to explore the relationship between economic policy uncertainty and sovereign bond yield in the United States, using the Ensemble EMD decomposition algorithm and Pearson correlation coefficient. Results show that these two variables exhibit a completely opposite linear relationship in the long-term trend before and after 27 April 2009, indicating that there is obvious conversion of stage characteristics and the relationship between these two variables is complex. Therefore, further study to investigate this complex relationship using nonlinear correlation measurement is necessary, and all these research will contribute to the policy making of regulators and trading behaviors of investors in the sovereign bond market. [ABSTRACT FROM AUTHOR]

Long-term Load Forecasting (LTLF) plays a vital role in the planning of electric utilities. In the long run, utilities face various uncertainties caused by economic and environmental factors. These uncertainties have made LTLF more complex and inaccurate, thus, amplifying financial risks of utilities. A potent contributor to such losses in LTLF accuracy is economic shocks. This study proposes two probabilistic Time-Varying (TV) approaches to capture such shocks in LTLF and minimise accuracy loss, namely TV-XGB-X and TV-PR, and their combinations considering economic policy uncertainty. Both eXtreme Gradient Boosting (XGB) and Polynomial Regression (PR) are extended to include the long-run TV effects of economic shocks as eXogeneous predictors in this paper. These models and their combinations are compared with various non-TV approaches through experiments on the monthly electricity consumption of eight energy-intensive states in the United States. The results reveal that the proposed combined approaches outperform stand-alone models on all datasets. The findings of this study can help utilities in hedging financial risks under shocks. • Proposed Time-Varying framework to detect and capture economic shocks for LTLF. • Framework includes probabilistic TV-PR, TV-XGB-X, their variants and combinations. • Compared the point and probabilistic accuracies of proposed and benchmark models. • Proposed models outperform existing benchmark models. [ABSTRACT FROM AUTHOR]

Abstract: This paper addresses why neoliberal policies of the United States have failed to spur broad-based economic development, and why they have not consolidated stable liberal democracy in Latin America. The author argues that the United States must reevaluate its foreign policy in order to accomplish its goals and maintain its influence in the region. This will mean engaging more moderate leftist leaders in Latin America and adopting changes to its trade policy. Above all, the United States should not revert back to its unilateral interventionist policies of the past. [Copyright &y& Elsevier]